Responsibilities

Design agentic workflows for tax processes, including: task‑level agent responsibilities, agent‑to‑agent communication patterns, human‑in‑the‑Loop and escalation models, feedback loops and agent performance monitoring and evaluations

Define reusable agent blueprints aligned to Lean‑derived task definitions

Apply leading edge agentic driven design and build methodologies eg. use of Codex, Factory ai, GitHub Copilot

Build of AI‑ready data marts that expose tax data at the right grain maintain lineage and quality controls support deterministic and probabilistic reasoning

Build data ingestion and transformation from ERP systems, tax platforms, semi‑structured documents, external data sources

Build embedded agent and workflow governance and security: Ensure compatibility and integration with client’s governance models and technology (eg. Microsoft Agent 365)





Design and embed real time controls and risk monitoring

Requirements

6+ years’ experience across data architecture, data engineering, and analytics

Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous

Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph

Strong grounding in: data modelling, data governance and quality, large‑scale data integration

Hands‑on experience applying AI/ML or advanced analytics in production environments

Proficient in programming or scripting languages: for instance, C++, Java, Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers)

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📌 Data and AI Specialist – Agentic Tax Processes, Platforms (Madrid)
🏢 Jobtailor
📍 Madrid